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This Edureka video gives you a brief introduction to Big Data and how it is revolutionizing in various domains. In this quick guide, the following topics will be covered:

1. What Is Big Data?
2. Popular Use case of Big Data
3. Career Prospects in Big Data

----------------------------------------------
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

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Become an expert in the exciting new world of Big Data, get trained in cutting edge technologies, and work on real-life industry-grade projects.

----------------------------------------------
Why BIG Data?

The adoption of Big Data is growing across industries, which has resulted in an increased demand for Big Data Engineers. However, the supply is inadequate, leading to a large number of job opportunities. In this environment, professionals with appropriate skills can command higher salaries.

-----------------------------------------------

PG Program in Big Data Engineering

1. Ranked 2nd among NITs by MHRD
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-----------------------------------------------

Program Features

1. Mentorship from NITR faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

-----------------------------------------------

Industry Projects

1. Retail: Forecasting Trends and Demand
2. Finance/Banking: Predictive Analytics & Fraud Detection
3. Social Media: Sentiment Analysis

-----------------------------------------------

Mentors & Instructors

Ashok Kumar Turk
Professor | NITR

Bibhudatta Sahoo
Associate Professor | NITR

Korra Sathya Babu
Assistant Professor Grade-I | NITR

--------------------------------------------

Is this program for me?

If you’re passionate about Big Data Engineering and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top for a career in Big Data Engineering.


Is there any eligibility criteria for this program?

A potential candidate must have a Bachelor’s Degree preferably in BCA, MCA, and B.Tech.


Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from NIT Rourkela upon the successful completion of the course.


For more information, Please write back to us at sales@edureka.co or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

Here's the roadmap that I would follow to learn artificial intelligence (AI).
📚 Get the FREE roadmap here ➡️ https://bit.ly/data-alchemy

⏱️ Timestamps
00:00 Introduction
00:34 Why learn AI?
01:28 Code vs. Low/No-code approach
02:27 Misunderstandings about AI
03:27 Ask yourself this question
04:19 What makes this approach different
05:42 Step 1: Set up your environment
06:54 Step 2: Learn Python and key libraries
08:02 Step 3: Learn Git and GitHub Basics
08:35 Step 4: Work on projects and portfolio
13:12 Step 5: Specialize and share knowledge
14:31 Step 6: Continue to learn and upskill
15:39 Step 7: Monetize your skills
16:53: What is Data Alchemy?

🛠️ Explore ProjectPro
https://bit.ly/3q837w8

👋🏻 About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.

🎓 My Courses
https://www.skool.com/data-alchemy
https://www.skool.com/data-freelancer

✔️ How I manage my business and dev projects
https://clickup.pxf.io/k0EN9N

📊 How I'm using data to track my health
https://join.whoop.com/datalumina

🔗 Let's Connect
https://www.linkedin.com/in/daveebbelaar/
https://www.instagram.com/daveebbelaar/

📥 Datalumina's Newsletter
https://www.datalumina.com/newsletter

#ai #roadmap #datalumina

📌 Video Description
In this video, Dave shares a comprehensive and actionable roadmap for anyone looking to start their journey into the exciting world of artificial intelligence (AI) in 2024. Whether you're a complete beginner or someone looking to pivot your career towards AI, this video lays out a step-by-step guide that demystifies the process of learning AI from the ground up. Dave highlights the significance of AI in today's tech landscape and addresses common misconceptions that newcomers might have.

With a focus on practical learning, the video emphasizes the importance of choosing between a code-centric or a low/no-code approach, making AI accessible to a broader audience. Dave's unique approach involves asking a critical question that shapes the learning path, ensuring that viewers embark on a journey tailored to their goals and interests.

The roadmap detailed in the video covers essential steps such as setting up your learning environment, mastering Python and key libraries crucial for AI, understanding the basics of Git and GitHub, and the importance of working on projects to build a strong portfolio. Dave also talks about the importance of specialization and the continuous process of learning and upskilling in fields like generative AI, large language models, chatbots, and machine learning.

Furthermore, Dave shares insights on how to monetize your AI skills, turning your passion into a profession. The video concludes with an introduction to Data Alchemy, a concept that encapsulates the transformative power of AI knowledge.

For those eager to dive into the AI world, Dave offers a free roadmap accessible through the link provided in the video description. This invaluable resource serves as a compass for navigating the complexities of AI learning, making it an essential watch for anyone interested in artificial intelligence, machine learning, and related technologies.

Learn about Large Language Models (LLMs), a powerful neural network that enables computers to process and generate language better than ever before. Dale and Nikita share how LLMs work and how you can interact with them via prompts.

Resources:
Try out Bard → https://goo.gle/420KQhw
What is a Transformer? → https://goo.gle/3VABlDw

Subscribe to Google Developers → https://goo.gle/developers

#MachineLearning #MLmodels #LLMs #GenerativeAI

A combination of Prompt Engineering and ChatGPT to learn the internals and technology behind large language models powering the new era of Artificial Intelligence.

A List of all prompts and keywords use in this video:
- https://github.com/prodramp/De....epWorks/blob/main/Ch

== Video Timeline ==
(00:00) Content Intro
(01:30) ChatGPT
(02:43) Transformer architecture
(09:10) Keywords Generation
(13:38) Text embedding
(17:43) Encoder and Decoder
(18:32) Self attention
(18:45) Multi-head self attention
(21:56) PyTorch Code Multi-head self attention
(23:37) Scaled Dot Product Attention
(27:45) Key deep learning methods
(28:53) Large language models
(29:49) LLM Parameter Count (Python Code)
(31:38) DALL-E large language model
(33:17) Key Differences DALL-E & ChatGPT
(34:20) List all Prompts
(34:40) ChatGPT Session Summary

Please visit:
https://prodramp.com | @prodramp
https://www.linkedin.com/company/prodramp

Content Creator:
Avkash Chauhan (@avkashchauhan)
https://www.linkedin.com/in/avkashchauhan

Tags:
#llm #chatgpt #promptengineering #openai #python #artificialintelligence

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🚀 Welcome to our comprehensive tutorial on Prompt Engineering for Beginners! 🚀. Whether you're a coding enthusiast, a budding AI developer, or simply curious about the world of natural language processing, this tutorial is designed just for you! In this step-by-step guide, we'll walk you through the fundamentals of prompt engineering, a key concept in harnessing the capabilities of GPT-3.5. You'll gain hands-on experience crafting prompts that yield accurate and insightful responses from the model.

🔍 What you'll learn:
1️⃣ Understanding GPT-3.5: Get a brief overview of the GPT-3.5 language model, its capabilities, and how it processes information.

2️⃣ Introduction to Prompt Engineering: Dive into the world of prompt engineering, learning how to craft effective prompts to elicit desired outputs.

3️⃣ Practical Examples: Follow along with practical examples as we demonstrate the art of constructing prompts for various tasks, from text generation to problem-solving.

4️⃣ Optimizing for Accuracy: Discover tips and tricks to fine-tune your prompts for optimal results, ensuring that GPT-3.5 understands and responds accurately.

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5️⃣ Common Pitfalls and Best Practices: Learn about potential challenges in prompt engineering and adopt best practices to overcome them.

In this video, we'll explore the risks and opportunities associated with large language models (LLMs). We'll discuss the potential benefits of LLMs, including their ability to improve natural language processing, generate human-like text, and enhance decision-making. However, we'll also examine the potential risks, such as biases and misuse.

Join us for a balanced discussion of LLMs and their impact on the future of AI.
Learn more about LLMs on our latest blog article: https://www.boost.ai/blog/llms....-large-language-mode

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Welcome to Simplilearn's Introduction to Prompt Engineering video! In this video, we'll take a few minutes to explain what prompt engineering is and why it's becoming a game-changer in the world of AI. From understanding the basics of prompt engineering to exploring some of the most common use cases, we'll cover everything you need to know to get started with this exciting topic. So, let's dive in and explore the world of prompt engineering together!

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

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In this video on What Is LangChain,we will cover what LangChain is, why we need LangChain, how does LangChain work, and some applications of LangChian and at last we will see the demo part in which we covered how you chain your outside resources using LLM's (OpenAI Chatgpt). LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models).

Below are the topics covered in this LangChain tutorial:

00:00 LangChain Explained in 14 Minutes
00:04 Introduction to LangChain
02:48 What is LangChain ?
03:43 Why do we need LangChain?
04:34 How does LangChain Work?
05:43 Use cases of LangChain
07:13 LangChain Demo Explained

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#LangChain #AITrainingforBeginners #AITraining #AI #ArtificialIntelligence #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
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- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

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- Python
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- NLP
- Neural Networks
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- Speech Recognition
- Ensemble Learning
- Computer Vision

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#ai #artificialintelligence #chatgpt #midjourney #llm #largelanguagemodels #largelanguagemodel

This is a short and very simple video I created to explain some of the concepts that go into large language models like Chat-GPT4. It covers various aspects of LLM artificial intelligence like foundations, architecture, pre-training, fine-tuning, tokenization, embeddings, self-attention, positional encoding, layers and headers, and decoding. The text was created with the use of chat gpt4. All of the images were created using Midjourney AI based on the text.

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ChatGPT Full Course 2024 by simplilearn is a latest variant of ChatGPT Full Course. the couse will guide the aspiring AI Engineers to learn the critical AI and machine learning and ChatGPT AI models from the very Basic To Advanced This ChatGPT Tutorial by simplileatn will cover how to use ChatGPT 4 Omni, Data Analysis with chatGPT, programming with chatgpt, automation with chatgpt and much more. The ChatGPT full course with 4 Omni demonstration will cover the following topics:

00:00:00 ChatGPT Full Course For Beginners 2023
00:02:22 Top AI Tools
00:00:07:50 What is GPT 4?
00:13:52 Automate Excel using ChatGPT
01:24:12 How to Build a Website Using ChatGPT
02:06:35 How To Use ChatGPT For Web Development
02:32:22 Can ChatGPT Solve LeetCode Problems?
04:02:21 Create a Telegram Bot Using ChatGPT
04:19:21 Automate WhatsApp using ChatGPT
04:29:45 Build a Game using Python and ChatGPT
04:54:25 ChatGPT in Cybersecurity
05:24:09 ChatGPT for UI/UX Design
06:10:28 How to use ChatGPT for SEO?
07:02:19 Chat GPT for Content Creation
07:06:14 Master SEO Content Using ChatGPT
7:11:53 Explore 10 Mind-Blowing GPTs Inside ChatGPT - WebPilot Will Amaze You
7:23:43 OpenAI ChatGPT-4o
7:40:21 How To Use ChatGPT Memory ?
7:45:51 ChatGPT For Voice Activated AI Assiatant
7:58:04 How To Use ChatGPT Plugins - Step-By-Step Guide
8:07:15 ChatGPT 4.0 vs Gemini 1.5
8:17:11 WEB SCRAPPING Using CHATGPT
8:21:38 How To Use AI In Excel ?
8:52:36 ChatGPT Made This Excel Dashboard 😱😱
9:03:03 How To Write Resume Using ChatGPT
9:08:40 What Is Multimodal AI?

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➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

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- 25 Industry-relevant Projects and Integrated labs
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- Flask
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How ChatGPT is Trained

In this video, we take a look at how ChatGPT is trained. ChatGPT is a large language model that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. It is trained on a massive dataset of text and code, and it is able to learn and adapt to new information.
blog link: https://www.linkedin.com/pulse..../discover-how-chatgp
Also check
Is Bard better than chatgpt : https://www.youtube.com/watch?v=Ae6q7v7pOxM&t=673s&pp=ygULa3Jpc2ggbmFpayA%3D

Timestamp
00:00:00 Introduction
00:03:25 3 stages of training
00:07:25 Generative Pretraining
00:09:36 Supervised Fine Tuning
00:13:18 Reinforcement Learning Through Human Feedbacks

---------------------------------------------------------------------------------------------------------
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Large Language Models like ChatGPT have remarkable abilities to generate content based on training data but do they have actual intelligence? Find out more about how LLM's and Chatbots work as we explore this question.

Featuring:
Mira Murati the CTO of OpenAI
Cristóbal Valenzuela the creator of Runway

Presented by: Code.org, ETS, ISTE, Khan Academy

Start learning today!
https://code.org/ai/how-ai-works

Stay in touch with us on social media:
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Help make our work possible with a donation at http://code.org/donate!

This is the 1st video in a series on using large language models (LLMs) in practice. I introduce LLMs and three levels of working with them.

▶️ Series Playlist: https://www.youtube.com/playli....st?list=PLz-ep5RbHos
📰 Read more: https://towardsdatascience.com..../a-practical-introdu

Music by Me
https://soundcloud.com/shawhin....-talebi/letsalljustt
https://www.youtube.com/@shawhin-music

--
Homepage: https://shawhintalebi.com/

Intro - 0:00
What is an LLM? - 1:13
Zero-shot Learning - 3:36
How do LLMs work? - 5:44
3 Levels of Using LLMs - 7:52
Level 1: Prompt Engineering - 8:22
Level 2: Model Fine-tuning - 11:00
Level 3: Build your own - 13:13

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In this video on PaLM 2 - Google's Next Generation Large Language Model,we will cover what is PaLM 2, what it can do, How was it built, and what's the next step. PaLM 2 is a cutting-edge large language model, which continues the tradition of Google's pioneering research in machine learning and responsible AI. Discover its development process and how it empowers generative AI capabilities and tools at Google, including Bard and the PaLM API.

below are the topics covered in this What is PaLM 2 video:

00:00 PaLM 2
01:50 Agenda
02:08 What is PaLM 2?
03:25 What can you do?
05:09 How was it built
06:10 What's Next?

PaLM 2 represents the latest iteration of a large language model developed by Google, building upon their extensive research in machine learning and responsible AI. It surpasses the capabilities of previous models, including PaLM, by demonstrating exceptional performance in various complex reasoning tasks such as code and math processing, classification, question answering, translation, multilingual proficiency, and natural language generation.

The advancements in PaLM 2 can be attributed to a combination of factors. Firstly, it leverages compute-optimal scaling, enabling efficient utilization of computational resources. Secondly, it benefits from an enhanced dataset mixture, incorporating diverse and comprehensive data sources. Lastly, improvements in model architecture contribute to its impressive performance.

PaLM 2's influence extends beyond its standalone use, as it serves as a foundation for other cutting-edge models like Med-PaLM 2 and Sec-PaLM. Moreover, it powers generative AI features and tools at Google, such as Bard.

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In this video, we will explore the groundbreaking concept of Retrieval Augmented Generation (RAG), a revolutionary approach at the forefront of natural language processing (NLP). RAG represents a significant leap forward in text generation methodologies, seamlessly blending retrieval mechanisms with generative models to unlock new possibilities in AI-driven communication. Throughout this session, we will unravel the intricate workings of RAG, diving deep into its architecture, principles, and practical applications. We'll embark on a journey to understand how retrievers, acting as gateways to vast knowledge repositories, empower generative models to produce contextually rich and factually accurate text outputs. Join us as we navigate the landscape of RAG, exploring its potential to revolutionize various NLP tasks, from question answering to content generation. By the end of this video, you'll have a comprehensive understanding of RAG's transformative impact on natural language understanding and generation. So, without further ado, let's dive into the world of Retrieval Augmented Generation.

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This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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This Edureka PyTorch Tutorial video (Blog: https://goo.gl/4zxMfU) will help you in understanding various important basics of PyTorch. It also includes a use-case in which we will create an image classifier that will predict the accuracy of an image data-set using PyTorch.
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00:00:19 Agenda
00:00:46 AI, Machine Learning and Deep Learning
00:01:36 What is Deep Learning?
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00:29:46 Dataset
00:30:51 Flow Diagram
00:31:33 Training an image Classifier
00:31:54 Loading and Normalizing CIFAR10
00:32:15 Define a Convolution Neural Network
00:32:41 Define a Loss Function and Optimizer
00:33:46 Train the Network
00:34:01 Test the Network on Test Data
00:40:33 Results
00:40:59 Session In A Minute

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